As large language models continue to grow, running them efficiently on small edge devices remains one of AI’s biggest challenges. This paper explores how LLM inference can be decentralized across a network of energy-harvesting devices each powered by intermittent renewable… Read More »Decentralized LLM Inference over Edge Networks with Energy Harvesting
As global connectivity ushers in the next era of communication, 6G networks are poised to revolutionize technology with unprecedented capabilities. These advancements will rely heavily on Artificial Intelligence (AI) and Machine Learning (ML), which are expected to enhance network efficiency,… Read More »Strengthening 6G AI/ML Security: Insights from ROBUST-6G Threat Assessment and Prevention Report
As the world transitions towards the sixth generation (6G) of wireless networks, ensuring robust security and trustworthiness solutions becomes a critical necessity. In this vein, the ROBUST-6G project aims to address key challenges related to security and trustworthiness through a… Read More »Exploring the Future of Secure 6G Networks: Insights from ROBUST-6G Deliverable 2.2
As 6G emerges as a transformative force in digital communication, its ability to seamlessly integrate the digital and physical worlds hinges on robust security frameworks. ROBUST-6G’s Deliverable 2.1, “6G Threat Analysis Report,” lays the groundwork for addressing this pivotal challenge,… Read More »Unveiling the Future of 6G Security with ROBUST-6G’s Threat Analysis